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장원재 ( Won-jae Jang ),차윤석 ( Yun-seok Cha ),금예은 ( Ye-eun Keum ),이예진 ( Ye-jin Lee ),김정도 ( Jeong-do Kim ) 한국센서학회 2021 센서학회지 Vol.30 No.5
Usually, during slaughter, the meat is divided into large chunks by part after deboning. The meat chunks are inspected for the presence of needles with an X-ray scanner. Although needles in the meat chunks are easily detectable, they can also be found in trimmings and meat offals, where meat skins, fat chunks, and pieces of meat from different parts get agglomerated. Detection of needles in trimmings and meat offals becomes challenging because of many needle-like patterns that are detected by the X-ray scanner. This problem can be solved by learning the trimmings or meat offals using deep learning. However, it is not easy to collect a large number of learning patterns in trimmings or meat offals. In this study, we demonstrate the use of deep convolutional generative adversarial network (DCGAN) to create fake images of trimmings or meat offals and train them using a convolution neural network (CNN).
Heat Transfer Enhancements in the Flow Channel with Helically Fluted Surfaces
Dae Hee Lee(이대희),Chang Yul Lim(임창율),Dae Keun Lee(이대근),Yun Seok Cha(차윤석) 대한기계학회 2006 대한기계학회 춘추학술대회 Vol.2006 No.11
Measurements of local heat transfer coefficients in the cooling flow passage of the ventilated disc brake are made. Flat surfaces in the flow passage have been modified to helically fluted surfaces to better dissipate heat caused by the friction between the disc and the pad in braking. Thermochromic liquid crystals and shroud-transient technique were used to accurately measure local heat transfer coefficients. The Reynolds numbers tested are 30,000, 50,000 and 70,000, the helix angle is fixed at 60?°, and the diameter of tube is 7㎝. The results show that the local heat transfer coefficients with helically fluted surfaces are maximum 89.3% to 179% higher than values measured on the flat surface.